Analysis of Variance of Microarray Data

Ayroles, Julien F. and Gibson, Greg (2006) Analysis of Variance of Microarray Data. Methods in Enzymology, 411: DNA Microarrays, Part B: Databases and Statistics : 214-233.


Author Ayroles, Julien F.
Gibson, Greg
Title Analysis of Variance of Microarray Data
Journal name Methods in Enzymology   Check publisher's open access policy
ISSN 0076-6879
ISBN 978-0-12-182816-5
Publication date 2006
Sub-type Article (original research)
DOI 10.1016/S0076-6879(06)11011-3
Volume 411: DNA Microarrays, Part B: Databases and Statistics
Start page 214
End page 233
Total pages 20
Editor Alan Kimmel
Brian Oliver
Place of publication New York
Publisher Academic Press
Language eng
Subject 0604 Genetics
Abstract Analysis of variance (ANOVA) is an approach used to identify differentially expressed genes in complex experimental designs. It is based on testing for the significance of the magnitude of effect of two or more treatments taking into account the variance within and between treatment classes. ANOVA is a highly flexible analytical approach that allows investigators to simultaneously assess the contributions of multiple factors to gene expression variation, including technical (dye, batch) effects and biological (sex, genotype, drug, time) ones, as well as interactions between factors. This chapter provides an overview of the theory of linear mixture modeling and the sequence of steps involved in fitting gene-specific models and discusses essential features of experimental design. Commercial and open-source software for performing ANOVA is widely available.
Keyword Enzymes
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Biological Sciences Publications
 
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